diff --git a/AF_Data_Loading.ipynb b/AF_Data_Loading.ipynb deleted file mode 100644 index 76d984c..0000000 --- a/AF_Data_Loading.ipynb +++ /dev/null @@ -1,1071 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Data Loading\n", - "\n", - "#Andrea Fassbender\n", - "#10/17/2019" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "\n", - "import xarray as xr\n", - "import matplotlib.pyplot as plt\n", - "import intake\n", - "import cartopy.crs as ccrs\n", - "\n", - "# util.py is in the local directory\n", - "# it contains code that is common across project notebooks\n", - "# or routines that are too extensive and might otherwise clutter\n", - "# the notebook design\n", - "import util " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Demonstrate how to use `intake-esm`\n", - "[Intake-esm](https://intake-esm.readthedocs.io) is a data cataloging utility that facilitates access to CMIP data. It's pretty awesome.\n", - "\n", - "An `intake-esm` collection object establishes a link to a database that contains file locations and associated metadata (i.e. which experiement, model, etc. thet come from). \n", - "\n", - "### Opening a collection\n", - "First step is to open a collection by pointing to the collection definition file, which is a JSON file that conforms to the [ESM Collection Specification](https://github.com/NCAR/esm-collection-spec). \n", - "\n", - "The collection JSON files are stored locally in this repository for purposes of reproducibility---and because Cheyenne compute nodes don't have Internet access. \n", - "\n", - "The primary source for these files is the [intake-esm-datastore](https://github.com/NCAR/intake-esm-datastore) repository. Any changes made to these files should be pulled from that repo. For instance, the Pangeo cloud collection is available [here](https://raw.githubusercontent.com/NCAR/intake-esm-datastore/master/catalogs/pangeo-cmip6.json)." - ] - }, - { - "cell_type": "code", - "execution_count": 88, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "glade-cmip6-ESM Collection with 698724 entries:\n", - "\t> 13 activity_id(s)\n", - "\n", - "\t> 24 institution_id(s)\n", - "\n", - "\t> 47 source_id(s)\n", - "\n", - "\t> 68 experiment_id(s)\n", - "\n", - "\t> 162 member_id(s)\n", - "\n", - "\t> 35 table_id(s)\n", - "\n", - "\t> 1027 variable_id(s)\n", - "\n", - "\t> 12 grid_label(s)\n", - "\n", - "\t> 59 dcpp_init_year(s)\n", - "\n", - "\t> 248 version(s)\n", - "\n", - "\t> 6813 time_range(s)\n", - "\n", - "\t> 698724 path(s)" - ] - }, - "execution_count": 88, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "if util.is_ncar_host():\n", - " col = intake.open_esm_datastore(\"../catalogs/glade-cmip6.json\")\n", - "else:\n", - " col = intake.open_esm_datastore(\"../catalogs/pangeo-cmip6.json\")\n", - "col" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`intake-esm` is build on top of [pandas](https://pandas.pydata.org/pandas-docs/stable). It is possible to view the `pandas.DataFrame` as follows." - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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